Identification of seismic damage to structural buildings using the quasi-Newton method

Satoko Ono; Tadatoshi Furukawa; Eizaburo Tachibana

doi:10.1117/12.472549

28 June 2002 Identification of seismic damage to structural buildings using the quasi-Newton method

Satoko Ono, Tadatoshi Furukawa, Eizaburo Tachibana

Proceedings Volume 4696, Smart Structures and Materials 2002: Smart Systems for Bridges, Structures, and Highways; (2002) https://doi.org/10.1117/12.472549
Event: SPIE's 9th Annual International Symposium on Smart Structures and Materials, 2002, San Diego, California, United States

Abstract

In order to restore damaged buildings affected by earthquake excitations, it is important to identify damaged elements in terms of their dynamic properties; stiffness, mass and damping coefficients. In this paper, a simple method is proposed for identification of the damaged part. By considering all unknown dynamic properties of structure as variables of a target function f in nonlinear programming problem, the damage identification problem can be replaced by a typical unconstrained minimization problem. The target function is defined as f equals (Sigma) [ (y_n,i) - (y_n*) ]² where (y_n,i) is structural response at the time of t equals (Delta) X n derived from i-th trial variable (X_i), and (y_n*) means observed response, respectively. In order to achieve quick convergence, quasi- Newton method and BFGS formulae are adopted for minimizing the target function. Two decision problems are discussed. One is the choice of structural response; displacement, velocity or acceleration. The second is the kind of external excitations that should be adopted. By observing three dimensional graphics. It appeared that good convergence can be achieved by adopting displacement response and sinusoidal excitation. Furthermore, it appeared that we should not evaluate the identified properties only from the response diagrams.

Citation Download Citation

Satoko Ono, Tadatoshi Furukawa, and Eizaburo Tachibana "Identification of seismic damage to structural buildings using the quasi-Newton method", Proc. SPIE 4696, Smart Structures and Materials 2002: Smart Systems for Bridges, Structures, and Highways, (28 June 2002); https://doi.org/10.1117/12.472549

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KEYWORDS

Buildings

Earthquakes

Electroluminescence

Detection and tracking algorithms

System identification

3D acquisition

Safety

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